Now showing items 1-2 of 2

    • Faster SVD for Matrices with Small $m/n$ 

      Bau, David (Cornell University, 1994-03)
      The singular values of a matrix are conventionally computed using either the bidiagonalization algorithm by Golub and Reinsch (1970) when $m/n less than 5/3$, or the algorithm by Lawson and Hanson (1974) and Chan (1982) ...
    • Solving Alignment using Elementary Linear Algebra 

      Bau, David; Kodukula, Induprakas; Kotlyar, Vladimir; Pingali, Keshav; Stodghill, Paul (Cornell University, 1995-01)
      Data and computation alignment is an important part of compiling sequential programs to architectures with non-uniform memory access times. In this paper, we show that elementary matrix methods can be used to determine ...